Overview

Brought to you by YData

Dataset statistics

Number of variables38
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.7 KiB
Average record size in memory284.0 B

Variable types

Text1
Numeric26
Boolean11

Alerts

Armed Forces size is highly overall correlated with GDP and 2 other fieldsHigh correlation
Birth Rate is highly overall correlated with CO2_per_capita and 10 other fieldsHigh correlation
CO2_per_capita is highly overall correlated with Birth Rate and 10 other fieldsHigh correlation
Delta_2013_2023 is highly overall correlated with Birth Rate and 4 other fieldsHigh correlation
Delta_c02_per_capita_2013_2023 is highly overall correlated with Delta_2013_2023 and 3 other fieldsHigh correlation
Freedom to make life choices is highly overall correlated with HappinessHigh correlation
GDP is highly overall correlated with Armed Forces size and 7 other fieldsHigh correlation
Generosity is highly overall correlated with Regional indicator_North America and ANZ and 1 other fieldsHigh correlation
Gross tertiary education enrollment (%) is highly overall correlated with Birth Rate and 11 other fieldsHigh correlation
Happiness is highly overall correlated with Birth Rate and 10 other fieldsHigh correlation
Healthy life expectancy is highly overall correlated with Birth Rate and 11 other fieldsHigh correlation
Log GDP per capita is highly overall correlated with Birth Rate and 12 other fieldsHigh correlation
Maternal_Health_factor is highly overall correlated with Birth Rate and 12 other fieldsHigh correlation
Minimum wage is highly overall correlated with Birth Rate and 13 other fieldsHigh correlation
Out of pocket health expenditure is highly overall correlated with Log GDP per capita and 1 other fieldsHigh correlation
Perceptions of corruption is highly overall correlated with Regional indicator_North America and ANZHigh correlation
Physicians per thousand is highly overall correlated with Birth Rate and 9 other fieldsHigh correlation
Population: Labor force participation (%) is highly overall correlated with Regional indicator_Middle East and North AfricaHigh correlation
Regional indicator_East Asia is highly overall correlated with Armed Forces size and 2 other fieldsHigh correlation
Regional indicator_Middle East and North Africa is highly overall correlated with Population: Labor force participation (%)High correlation
Regional indicator_North America and ANZ is highly overall correlated with CO2_per_capita and 4 other fieldsHigh correlation
Regional indicator_South Asia is highly overall correlated with Armed Forces size and 1 other fieldsHigh correlation
Regional indicator_Southeast Asia is highly overall correlated with GenerosityHigh correlation
Regional indicator_Sub-Saharan Africa is highly overall correlated with Birth Rate and 7 other fieldsHigh correlation
Regional indicator_Western Europe is highly overall correlated with Delta_c02_per_capita_2013_2023 and 4 other fieldsHigh correlation
Social support is highly overall correlated with Birth Rate and 9 other fieldsHigh correlation
Tax revenue (%) is highly overall correlated with Regional indicator_Western EuropeHigh correlation
Regional indicator_Central and Eastern Europe is highly imbalanced (50.0%)Imbalance
Regional indicator_Commonwealth of Independent States is highly imbalanced (59.8%)Imbalance
Regional indicator_East Asia is highly imbalanced (80.6%)Imbalance
Regional indicator_Middle East and North Africa is highly imbalanced (56.4%)Imbalance
Regional indicator_North America and ANZ is highly imbalanced (75.8%)Imbalance
Regional indicator_South Asia is highly imbalanced (67.3%)Imbalance
Regional indicator_Southeast Asia is highly imbalanced (71.4%)Imbalance
Regional indicator_Western Europe is highly imbalanced (50.0%)Imbalance
Regional indicator_nan is highly imbalanced (71.4%)Imbalance
Country has unique valuesUnique
Delta_2013_2023 has unique valuesUnique
GDP has unique valuesUnique
Delta_c02_per_capita_2013_2023 has unique valuesUnique
CO2_per_capita has unique valuesUnique
Maternal_Health_factor has unique valuesUnique

Reproduction

Analysis started2025-11-19 17:39:38.779458
Analysis finished2025-11-19 17:40:59.263760
Duration1 minute and 20.48 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

Country
Text

Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2025-11-19T17:40:59.515139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length32
Median length18
Mean length8.02
Min length3

Characters and Unicode

Total characters802
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st rowAfghanistan
2nd rowAlbania
3rd rowAlgeria
4th rowArgentina
5th rowArmenia
ValueCountFrequency (%)
republic4
 
3.4%
the2
 
1.7%
of2
 
1.7%
congo2
 
1.7%
afghanistan1
 
0.8%
albania1
 
0.8%
algeria1
 
0.8%
argentina1
 
0.8%
belgium1
 
0.8%
benin1
 
0.8%
Other values (102)102
86.4%
2025-11-19T17:40:59.919390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a128
16.0%
i71
 
8.9%
n60
 
7.5%
e57
 
7.1%
o46
 
5.7%
r44
 
5.5%
l33
 
4.1%
u28
 
3.5%
t25
 
3.1%
g23
 
2.9%
Other values (39)287
35.8%

Most occurring categories

ValueCountFrequency (%)
(unknown)802
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a128
16.0%
i71
 
8.9%
n60
 
7.5%
e57
 
7.1%
o46
 
5.7%
r44
 
5.5%
l33
 
4.1%
u28
 
3.5%
t25
 
3.1%
g23
 
2.9%
Other values (39)287
35.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown)802
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a128
16.0%
i71
 
8.9%
n60
 
7.5%
e57
 
7.1%
o46
 
5.7%
r44
 
5.5%
l33
 
4.1%
u28
 
3.5%
t25
 
3.1%
g23
 
2.9%
Other values (39)287
35.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown)802
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a128
16.0%
i71
 
8.9%
n60
 
7.5%
e57
 
7.1%
o46
 
5.7%
r44
 
5.5%
l33
 
4.1%
u28
 
3.5%
t25
 
3.1%
g23
 
2.9%
Other values (39)287
35.8%

Delta_2013_2023
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24612984
Minimum-5.687657 × 108
Maximum1.946174 × 109
Zeros0
Zeros (%)0.0%
Negative39
Negative (%)39.0%
Memory size1.6 KiB
2025-11-19T17:41:00.054900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-5.687657 × 108
5-th percentile-89966551
Q1-3307407.8
median1038423
Q36854654.8
95-th percentile1.5373851 × 108
Maximum1.946174 × 109
Range2.5149397 × 109
Interquartile range (IQR)10162062

Descriptive statistics

Standard deviation2.3769628 × 108
Coefficient of variation (CV)9.6573531
Kurtosis47.222512
Mean24612984
Median Absolute Deviation (MAD)4846341
Skewness6.1100956
Sum2.4612984 × 109
Variance5.6499522 × 1016
MonotonicityNot monotonic
2025-11-19T17:41:00.194492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17917011
 
1.0%
-1431861
 
1.0%
373463901
 
1.0%
62682301
 
1.0%
20733191
 
1.0%
-160955201
 
1.0%
103817481
 
1.0%
486640641
 
1.0%
-193930701
 
1.0%
10263421
 
1.0%
Other values (90)90
90.0%
ValueCountFrequency (%)
-5687657001
1.0%
-3265131001
1.0%
-2355914901
1.0%
-1724649201
1.0%
-1610184101
1.0%
-862269801
1.0%
-460892101
1.0%
-459479401
1.0%
-326456901
1.0%
-303260901
1.0%
ValueCountFrequency (%)
19461740001
1.0%
10672264001
1.0%
2441688401
1.0%
1832880501
1.0%
1754873001
1.0%
1525938401
1.0%
847456001
1.0%
590594361
1.0%
488193301
1.0%
486640641
1.0%

Density (P/Km2)
Real number (ℝ)

Distinct81
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.07
Minimum2
Maximum1380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:00.318906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8.9
Q142.25
median91
Q3156.5
95-th percentile466.2
Maximum1380
Range1378
Interquartile range (IQR)114.25

Descriptive statistics

Standard deviation213.3092
Coefficient of variation (CV)1.3935402
Kurtosis17.452449
Mean153.07
Median Absolute Deviation (MAD)57.5
Skewness3.7462562
Sum15307
Variance45500.813
MonotonicityNot monotonic
2025-11-19T17:41:00.453361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183
 
3.0%
833
 
3.0%
762
 
2.0%
1232
 
2.0%
172
 
2.0%
252
 
2.0%
262
 
2.0%
162
 
2.0%
42
 
2.0%
2032
 
2.0%
Other values (71)78
78.0%
ValueCountFrequency (%)
21
 
1.0%
31
 
1.0%
42
2.0%
71
 
1.0%
92
2.0%
162
2.0%
172
2.0%
183
3.0%
191
 
1.0%
201
 
1.0%
ValueCountFrequency (%)
13801
1.0%
12651
1.0%
6671
1.0%
6261
1.0%
5081
1.0%
4641
1.0%
4001
1.0%
3831
1.0%
3681
1.0%
3471
1.0%

Agricultural Land( %)
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.825
Minimum6.9
Maximum82.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:00.587747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6.9
5-th percentile13.25
Q132.325
median45.4
Q358.825
95-th percentile76.46
Maximum82.6
Range75.7
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation18.587328
Coefficient of variation (CV)0.40561545
Kurtosis-0.68917974
Mean45.825
Median Absolute Deviation (MAD)13.35
Skewness-0.028734142
Sum4582.5
Variance345.48876
MonotonicityNot monotonic
2025-11-19T17:41:00.750155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.82
 
2.0%
34.52
 
2.0%
31.12
 
2.0%
71.72
 
2.0%
39.32
 
2.0%
54.31
 
1.0%
58.11
 
1.0%
70.61
 
1.0%
44.61
 
1.0%
33.31
 
1.0%
Other values (85)85
85.0%
ValueCountFrequency (%)
6.91
1.0%
8.41
1.0%
11.61
1.0%
121
1.0%
12.31
1.0%
13.31
1.0%
17.41
1.0%
18.51
1.0%
19.51
1.0%
201
1.0%
ValueCountFrequency (%)
82.61
1.0%
80.81
1.0%
80.41
1.0%
77.71
1.0%
77.61
1.0%
76.41
1.0%
74.21
1.0%
71.91
1.0%
71.72
2.0%
71.51
1.0%

Birth Rate
Real number (ℝ)

High correlation 

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.7231
Minimum7.4
Maximum46.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:00.891364image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.4
5-th percentile8.89
Q110.9
median17.55
Q327.17
95-th percentile37.911
Maximum46.08
Range38.68
Interquartile range (IQR)16.27

Descriptive statistics

Standard deviation10.065712
Coefficient of variation (CV)0.51035144
Kurtosis-0.61036661
Mean19.7231
Median Absolute Deviation (MAD)7.11
Skewness0.76655318
Sum1972.31
Variance101.31857
MonotonicityNot monotonic
2025-11-19T17:41:01.026803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.32
 
2.0%
10.12
 
2.0%
10.92
 
2.0%
10.22
 
2.0%
17.552
 
2.0%
102
 
2.0%
16.752
 
2.0%
9.22
 
2.0%
9.62
 
2.0%
24.281
 
1.0%
Other values (81)81
81.0%
ValueCountFrequency (%)
7.41
1.0%
7.91
1.0%
8.11
1.0%
8.51
1.0%
8.71
1.0%
8.91
1.0%
91
1.0%
9.22
2.0%
9.41
1.0%
9.51
1.0%
ValueCountFrequency (%)
46.081
1.0%
41.541
1.0%
41.181
1.0%
38.141
1.0%
37.931
1.0%
37.911
1.0%
37.521
1.0%
36.71
1.0%
36.221
1.0%
36.191
1.0%

Armed Forces size
Real number (ℝ)

High correlation 

Distinct76
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204350
Minimum2000
Maximum3031000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:01.158350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile3950
Q115750
median44500
Q3192250
95-th percentile740300
Maximum3031000
Range3029000
Interquartile range (IQR)176500

Descriptive statistics

Standard deviation456947.08
Coefficient of variation (CV)2.2361002
Kurtosis23.260145
Mean204350
Median Absolute Deviation (MAD)37500
Skewness4.5305163
Sum20435000
Variance2.0880063 × 1011
MonotonicityNot monotonic
2025-11-19T17:41:01.302065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90005
 
5.0%
20004
 
4.0%
100003
 
3.0%
120003
 
3.0%
180003
 
3.0%
70003
 
3.0%
710002
 
2.0%
230002
 
2.0%
110002
 
2.0%
270002
 
2.0%
Other values (66)71
71.0%
ValueCountFrequency (%)
20004
4.0%
30001
 
1.0%
40001
 
1.0%
60002
 
2.0%
70003
3.0%
90005
5.0%
100003
3.0%
110002
 
2.0%
120003
3.0%
150001
 
1.0%
ValueCountFrequency (%)
30310001
1.0%
26950001
1.0%
14540001
1.0%
13590001
1.0%
9360001
1.0%
7300001
1.0%
6760001
1.0%
5220001
1.0%
5130001
1.0%
5120001
1.0%

Forested Area (%)
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.558
Minimum0.4
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:01.445263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1.1
Q111.575
median30.9
Q340.15
95-th percentile65.21
Maximum90
Range89.6
Interquartile range (IQR)28.575

Descriptive statistics

Standard deviation19.543462
Coefficient of variation (CV)0.68434281
Kurtosis-0.15637315
Mean28.558
Median Absolute Deviation (MAD)16.15
Skewness0.48567297
Sum2855.8
Variance381.94691
MonotonicityNot monotonic
2025-11-19T17:41:01.572211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.73
 
3.0%
12.63
 
3.0%
34.62
 
2.0%
43.12
 
2.0%
112
 
2.0%
1.92
 
2.0%
30.92
 
2.0%
1.12
 
2.0%
33.92
 
2.0%
22.61
 
1.0%
Other values (79)79
79.0%
ValueCountFrequency (%)
0.41
1.0%
0.51
1.0%
0.81
1.0%
0.91
1.0%
1.12
2.0%
1.21
1.0%
1.61
1.0%
1.92
2.0%
2.11
1.0%
3.11
1.0%
ValueCountFrequency (%)
901
1.0%
68.51
1.0%
67.61
1.0%
67.21
1.0%
65.41
1.0%
65.21
1.0%
621
1.0%
58.91
1.0%
57.71
1.0%
54.61
1.0%

GDP
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1408417 × 1011
Minimum2.4600724 × 109
Maximum2.14277 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:01.700559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.4600724 × 109
5-th percentile1.0662897 × 1010
Q12.3449744 × 1010
median7.3595386 × 1010
Q33.6772502 × 1011
95-th percentile2.721098 × 1012
Maximum2.14277 × 1013
Range2.142524 × 1013
Interquartile range (IQR)3.4427527 × 1011

Descriptive statistics

Standard deviation2.9696839 × 1012
Coefficient of variation (CV)3.6478831
Kurtosis40.237481
Mean8.1408417 × 1011
Median Absolute Deviation (MAD)6.1120142 × 1010
Skewness6.2265679
Sum8.1408417 × 1013
Variance8.8190223 × 1024
MonotonicityNot monotonic
2025-11-19T17:41:01.850398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.910135383 × 10101
 
1.0%
1.527807745 × 10101
 
1.0%
1.699882364 × 10111
 
1.0%
4.49663447 × 10111
 
1.0%
1.367280216 × 10101
 
1.0%
1.392680589 × 10121
 
1.0%
3.9207 × 10101
 
1.0%
3.025712541 × 10111
 
1.0%
5.296067104 × 10111
 
1.0%
1.43907091 × 10101
 
1.0%
Other values (90)90
90.0%
ValueCountFrequency (%)
24600724441
1.0%
30705181001
1.0%
39414743111
1.0%
54599794171
1.0%
76667044271
1.0%
1.082059113 × 10101
1.0%
1.195543546 × 10101
1.0%
1.252091529 × 10101
1.0%
1.292814512 × 10101
1.0%
1.367280216 × 10101
1.0%
ValueCountFrequency (%)
2.14277 × 10131
1.0%
1.991 × 10131
1.0%
5.081769542 × 10121
1.0%
3.845630031 × 10121
1.0%
2.827113185 × 10121
1.0%
2.715518274 × 10121
1.0%
2.611 × 10121
1.0%
1.839758041 × 10121
1.0%
1.73642563 × 10121
1.0%
1.699876579 × 10121
1.0%
Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.631
Minimum74.7
Maximum142.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:01.980789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum74.7
5-th percentile85.08
Q199.3
median102.65
Q3107.125
95-th percentile122.09
Maximum142.5
Range67.8
Interquartile range (IQR)7.825

Descriptive statistics

Standard deviation11.898949
Coefficient of variation (CV)0.11482036
Kurtosis3.0380364
Mean103.631
Median Absolute Deviation (MAD)3.95
Skewness0.93816629
Sum10363.1
Variance141.58499
MonotonicityNot monotonic
2025-11-19T17:41:02.113300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1043
 
3.0%
99.83
 
3.0%
103.92
 
2.0%
100.32
 
2.0%
115.42
 
2.0%
100.92
 
2.0%
100.22
 
2.0%
103.22
 
2.0%
102.72
 
2.0%
104.22
 
2.0%
Other values (75)78
78.0%
ValueCountFrequency (%)
74.71
1.0%
75.61
1.0%
811
1.0%
81.51
1.0%
84.71
1.0%
85.11
1.0%
85.21
1.0%
89.31
1.0%
90.61
1.0%
911
1.0%
ValueCountFrequency (%)
142.52
2.0%
142.11
1.0%
139.91
1.0%
123.81
1.0%
1221
1.0%
120.91
1.0%
120.61
1.0%
116.51
1.0%
115.42
2.0%
114.51
1.0%

Gross tertiary education enrollment (%)
Real number (ℝ)

High correlation 

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.621
Minimum0.8
Maximum136.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:02.248920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile4.495
Q114.075
median40
Q365.6
95-th percentile88.215
Maximum136.6
Range135.8
Interquartile range (IQR)51.525

Descriptive statistics

Standard deviation29.477611
Coefficient of variation (CV)0.69162176
Kurtosis-0.39129825
Mean42.621
Median Absolute Deviation (MAD)25.6
Skewness0.46131161
Sum4262.1
Variance868.92955
MonotonicityNot monotonic
2025-11-19T17:41:02.399079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.82
 
2.0%
63.92
 
2.0%
65.62
 
2.0%
10.22
 
2.0%
54.61
 
1.0%
113.11
 
1.0%
51.41
 
1.0%
9.71
 
1.0%
20.61
 
1.0%
79.71
 
1.0%
Other values (86)86
86.0%
ValueCountFrequency (%)
0.81
1.0%
21
1.0%
41
1.0%
4.11
1.0%
4.41
1.0%
4.51
1.0%
4.81
1.0%
5.41
1.0%
6.51
1.0%
6.61
1.0%
ValueCountFrequency (%)
136.61
1.0%
113.11
1.0%
901
1.0%
88.91
1.0%
88.51
1.0%
88.21
1.0%
88.11
1.0%
851
1.0%
82.71
1.0%
821
1.0%

Minimum wage
Real number (ℝ)

High correlation 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4019
Minimum0.01
Maximum13.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:02.543505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1795
Q10.3875
median0.95
Q32.83
95-th percentile10.334
Maximum13.59
Range13.58
Interquartile range (IQR)2.4425

Descriptive statistics

Standard deviation3.3143163
Coefficient of variation (CV)1.3798727
Kurtosis2.7892566
Mean2.4019
Median Absolute Deviation (MAD)0.65
Skewness1.9434736
Sum240.19
Variance10.984692
MonotonicityNot monotonic
2025-11-19T17:41:03.837496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.122
 
2.0%
0.952
 
2.0%
0.292
 
2.0%
1.572
 
2.0%
0.472
 
2.0%
0.352
 
2.0%
0.362
 
2.0%
0.342
 
2.0%
0.392
 
2.0%
0.312
 
2.0%
Other values (75)80
80.0%
ValueCountFrequency (%)
0.011
1.0%
0.051
1.0%
0.091
1.0%
0.121
1.0%
0.171
1.0%
0.181
1.0%
0.211
1.0%
0.231
1.0%
0.242
2.0%
0.251
1.0%
ValueCountFrequency (%)
13.591
1.0%
13.051
1.0%
11.491
1.0%
11.161
1.0%
10.791
1.0%
10.311
1.0%
10.291
1.0%
10.131
1.0%
9.991
1.0%
9.511
1.0%

Out of pocket health expenditure
Real number (ℝ)

High correlation 

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.861
Minimum5.3
Maximum81.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:03.982018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile11.095
Q119.275
median34.45
Q344.7
95-th percentile72.285
Maximum81.6
Range76.3
Interquartile range (IQR)25.425

Descriptive statistics

Standard deviation18.645339
Coefficient of variation (CV)0.53484808
Kurtosis-0.18387222
Mean34.861
Median Absolute Deviation (MAD)13.2
Skewness0.63911002
Sum3486.1
Variance347.64867
MonotonicityNot monotonic
2025-11-19T17:41:04.119214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.62
 
2.0%
40.52
 
2.0%
19.62
 
2.0%
14.82
 
2.0%
36.12
 
2.0%
15.22
 
2.0%
362
 
2.0%
12.52
 
2.0%
6.82
 
2.0%
16.92
 
2.0%
Other values (79)80
80.0%
ValueCountFrequency (%)
5.31
1.0%
6.82
2.0%
10.61
1.0%
111
1.0%
11.11
1.0%
11.81
1.0%
12.31
1.0%
12.52
2.0%
12.61
1.0%
13.11
1.0%
ValueCountFrequency (%)
81.61
1.0%
78.61
1.0%
78.41
1.0%
76.51
1.0%
73.91
1.0%
72.21
1.0%
71.81
1.0%
69.71
1.0%
66.51
1.0%
65.11
1.0%

Physicians per thousand
Real number (ℝ)

High correlation 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9934
Minimum0.01
Maximum7.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:04.252753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.0685
Q10.4175
median1.915
Q33.095
95-th percentile4.6415
Maximum7.12
Range7.11
Interquartile range (IQR)2.6775

Descriptive statistics

Standard deviation1.6377092
Coefficient of variation (CV)0.82156576
Kurtosis-0.11148702
Mean1.9934
Median Absolute Deviation (MAD)1.305
Skewness0.63168858
Sum199.34
Variance2.6820914
MonotonicityNot monotonic
2025-11-19T17:41:04.391046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.084
 
4.0%
2.613
 
3.0%
0.073
 
3.0%
0.043
 
3.0%
2.382
 
2.0%
0.682
 
2.0%
2.862
 
2.0%
0.982
 
2.0%
3.451
 
1.0%
4.41
 
1.0%
Other values (77)77
77.0%
ValueCountFrequency (%)
0.011
 
1.0%
0.031
 
1.0%
0.043
3.0%
0.073
3.0%
0.084
4.0%
0.091
 
1.0%
0.121
 
1.0%
0.131
 
1.0%
0.141
 
1.0%
0.161
 
1.0%
ValueCountFrequency (%)
7.121
1.0%
6.351
1.0%
5.481
1.0%
5.121
1.0%
5.051
1.0%
4.621
1.0%
4.481
1.0%
4.41
1.0%
4.251
1.0%
4.121
1.0%

Population: Labor force participation (%)
Real number (ℝ)

High correlation 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.194
Minimum39.3
Maximum86.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:04.534971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum39.3
5-th percentile45.68
Q155.85
median62.05
Q368.075
95-th percentile77.6
Maximum86.1
Range46.8
Interquartile range (IQR)12.225

Descriptive statistics

Standard deviation9.5269826
Coefficient of variation (CV)0.1531817
Kurtosis0.017299023
Mean62.194
Median Absolute Deviation (MAD)6.2
Skewness0.022357088
Sum6219.4
Variance90.763398
MonotonicityNot monotonic
2025-11-19T17:41:04.669099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.83
 
3.0%
70.82
 
2.0%
65.12
 
2.0%
66.42
 
2.0%
62.12
 
2.0%
63.62
 
2.0%
64.32
 
2.0%
56.52
 
2.0%
77.62
 
2.0%
61.72
 
2.0%
Other values (77)79
79.0%
ValueCountFrequency (%)
39.31
1.0%
41.21
1.0%
431
1.0%
43.11
1.0%
45.31
1.0%
45.71
1.0%
46.11
1.0%
471
1.0%
48.91
1.0%
49.31
1.0%
ValueCountFrequency (%)
86.11
1.0%
83.81
1.0%
83.41
1.0%
78.11
1.0%
77.62
2.0%
77.41
1.0%
76.71
1.0%
76.31
1.0%
76.11
1.0%
74.71
1.0%

Tax revenue (%)
Real number (ℝ)

High correlation 

Distinct79
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.795
Minimum0
Maximum37.2
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:04.803864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.44
Q111.575
median14.95
Q320.1
95-th percentile26.215
Maximum37.2
Range37.2
Interquartile range (IQR)8.525

Descriptive statistics

Standard deviation6.424973
Coefficient of variation (CV)0.40677258
Kurtosis0.8071018
Mean15.795
Median Absolute Deviation (MAD)3.95
Skewness0.3297432
Sum1579.5
Variance41.280278
MonotonicityNot monotonic
2025-11-19T17:41:04.956826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.63
 
3.0%
233
 
3.0%
10.23
 
3.0%
132
 
2.0%
12.82
 
2.0%
14.22
 
2.0%
20.92
 
2.0%
17.32
 
2.0%
15.12
 
2.0%
11.92
 
2.0%
Other values (69)77
77.0%
ValueCountFrequency (%)
01
1.0%
1.41
1.0%
1.51
1.0%
21
1.0%
5.41
1.0%
8.61
1.0%
8.81
1.0%
8.91
1.0%
91
1.0%
9.21
1.0%
ValueCountFrequency (%)
37.21
1.0%
31.61
1.0%
291
1.0%
26.81
1.0%
26.51
1.0%
26.22
2.0%
25.51
1.0%
24.21
1.0%
241
1.0%
23.11
1.0%

Total tax rate
Real number (ℝ)

Distinct92
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.571
Minimum9.9
Maximum106.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:05.091409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9.9
5-th percentile19.785
Q131.5
median38.9
Q347.9
95-th percentile60.92
Maximum106.3
Range96.4
Interquartile range (IQR)16.4

Descriptive statistics

Standard deviation14.410843
Coefficient of variation (CV)0.35520058
Kurtosis3.4493316
Mean40.571
Median Absolute Deviation (MAD)8.2
Skewness0.92981865
Sum4057.1
Variance207.67238
MonotonicityNot monotonic
2025-11-19T17:41:05.226221image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.63
 
3.0%
55.42
 
2.0%
60.72
 
2.0%
48.82
 
2.0%
46.22
 
2.0%
41.82
 
2.0%
38.72
 
2.0%
106.31
 
1.0%
33.41
 
1.0%
22.61
 
1.0%
Other values (82)82
82.0%
ValueCountFrequency (%)
9.91
1.0%
131
1.0%
13.61
1.0%
15.61
1.0%
15.71
1.0%
201
1.0%
20.41
1.0%
20.51
1.0%
22.21
1.0%
22.61
1.0%
ValueCountFrequency (%)
106.31
1.0%
71.41
1.0%
71.21
1.0%
66.11
1.0%
65.11
1.0%
60.72
2.0%
60.61
1.0%
59.21
1.0%
58.31
1.0%
57.71
1.0%

Unemployment rate
Real number (ℝ)

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6156
Minimum0.47
Maximum23.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:05.355309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.47
5-th percentile1.836
Q13.415
median5.36
Q38.505
95-th percentile16.0685
Maximum23.41
Range22.94
Interquartile range (IQR)5.09

Descriptive statistics

Standard deviation4.6078007
Coefficient of variation (CV)0.69650533
Kurtosis1.6142062
Mean6.6156
Median Absolute Deviation (MAD)2.04
Skewness1.3699699
Sum661.56
Variance21.231827
MonotonicityNot monotonic
2025-11-19T17:41:05.490641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.322
 
2.0%
4.592
 
2.0%
5.362
 
2.0%
4.22
 
2.0%
3.472
 
2.0%
12.331
 
1.0%
11.121
 
1.0%
4.191
 
1.0%
5.591
 
1.0%
2.231
 
1.0%
Other values (85)85
85.0%
ValueCountFrequency (%)
0.471
1.0%
0.751
1.0%
1.411
1.0%
1.581
1.0%
1.761
1.0%
1.841
1.0%
1.931
1.0%
1.981
1.0%
2.011
1.0%
2.041
1.0%
ValueCountFrequency (%)
23.411
1.0%
201
1.0%
18.191
1.0%
17.241
1.0%
16.991
1.0%
16.021
1.0%
14.721
1.0%
14.71
1.0%
14.41
1.0%
13.961
1.0%

Happiness
Real number (ℝ)

High correlation 

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.49566
Minimum1.721
Maximum7.341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:05.613559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.721
5-th percentile3.3786
Q14.63175
median5.8195
Q36.4135
95-th percentile6.9587
Maximum7.341
Range5.62
Interquartile range (IQR)1.78175

Descriptive statistics

Standard deviation1.1675924
Coefficient of variation (CV)0.21245718
Kurtosis0.020860292
Mean5.49566
Median Absolute Deviation (MAD)0.818
Skewness-0.69907761
Sum549.566
Variance1.363272
MonotonicityNot monotonic
2025-11-19T17:41:05.744779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.1882
 
2.0%
5.8162
 
2.0%
5.3041
 
1.0%
5.3641
 
1.0%
5.4551
 
1.0%
7.0571
 
1.0%
4.8931
 
1.0%
3.8861
 
1.0%
6.8941
 
1.0%
4.3771
 
1.0%
Other values (88)88
88.0%
ValueCountFrequency (%)
1.7211
1.0%
2.7071
1.0%
3.1861
1.0%
3.2451
1.0%
3.2951
1.0%
3.3831
1.0%
3.4211
1.0%
3.5021
1.0%
3.7811
1.0%
3.8861
1.0%
ValueCountFrequency (%)
7.3411
1.0%
7.3191
1.0%
7.1221
1.0%
7.0571
1.0%
7.0291
1.0%
6.9551
1.0%
6.9511
1.0%
6.91
1.0%
6.8941
1.0%
6.8381
1.0%

Perceptions of corruption
Real number (ℝ)

High correlation 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1419
Minimum0.006
Maximum0.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:05.882154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.006
5-th percentile0.02495
Q10.06875
median0.1205
Q30.18125
95-th percentile0.3682
Maximum0.48
Range0.474
Interquartile range (IQR)0.1125

Descriptive statistics

Standard deviation0.10349211
Coefficient of variation (CV)0.72933127
Kurtosis1.3006589
Mean0.1419
Median Absolute Deviation (MAD)0.055
Skewness1.2479763
Sum14.19
Variance0.010710616
MonotonicityNot monotonic
2025-11-19T17:41:06.038736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1642
 
2.0%
0.0752
 
2.0%
0.3682
 
2.0%
0.0822
 
2.0%
0.0062
 
2.0%
0.1232
 
2.0%
0.0692
 
2.0%
0.1362
 
2.0%
0.0552
 
2.0%
0.0282
 
2.0%
Other values (75)80
80.0%
ValueCountFrequency (%)
0.0062
2.0%
0.0181
1.0%
0.0191
1.0%
0.0241
1.0%
0.0251
1.0%
0.0282
2.0%
0.0292
2.0%
0.0311
1.0%
0.0351
1.0%
0.0431
1.0%
ValueCountFrequency (%)
0.481
1.0%
0.4321
1.0%
0.4181
1.0%
0.4011
1.0%
0.3721
1.0%
0.3682
2.0%
0.3511
1.0%
0.3231
1.0%
0.3111
1.0%
0.2811
1.0%

Freedom to make life choices
Real number (ℝ)

High correlation 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.62833
Minimum0
Maximum0.843
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:06.169707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2538
Q10.56225
median0.65
Q30.73075
95-th percentile0.8165
Maximum0.843
Range0.843
Interquartile range (IQR)0.1685

Descriptive statistics

Standard deviation0.1565567
Coefficient of variation (CV)0.24916318
Kurtosis2.7660355
Mean0.62833
Median Absolute Deviation (MAD)0.0835
Skewness-1.4279082
Sum62.833
Variance0.024510001
MonotonicityNot monotonic
2025-11-19T17:41:06.295174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.652
 
2.0%
0.7562
 
2.0%
0.4692
 
2.0%
0.7872
 
2.0%
0.732
 
2.0%
0.5672
 
2.0%
0.7752
 
2.0%
0.5232
 
2.0%
0.5862
 
2.0%
0.6312
 
2.0%
Other values (77)80
80.0%
ValueCountFrequency (%)
01
1.0%
0.1731
1.0%
0.2021
1.0%
0.2471
1.0%
0.251
1.0%
0.2541
1.0%
0.3371
1.0%
0.4251
1.0%
0.451
1.0%
0.4531
1.0%
ValueCountFrequency (%)
0.8431
1.0%
0.8351
1.0%
0.8291
1.0%
0.8271
1.0%
0.8261
1.0%
0.8161
1.0%
0.8051
1.0%
0.8011
1.0%
0.7971
1.0%
0.7931
1.0%

Generosity
Real number (ℝ)

High correlation 

Distinct85
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.14145
Minimum0
Maximum0.401
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:06.421833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04015
Q10.0885
median0.1325
Q30.178
95-th percentile0.26775
Maximum0.401
Range0.401
Interquartile range (IQR)0.0895

Descriptive statistics

Standard deviation0.074313882
Coefficient of variation (CV)0.52537209
Kurtosis1.611704
Mean0.14145
Median Absolute Deviation (MAD)0.0455
Skewness0.8625858
Sum14.145
Variance0.005522553
MonotonicityNot monotonic
2025-11-19T17:41:06.563088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1123
 
3.0%
0.1382
 
2.0%
0.122
 
2.0%
0.0832
 
2.0%
0.0912
 
2.0%
0.1272
 
2.0%
0.0682
 
2.0%
0.22
 
2.0%
0.1782
 
2.0%
0.2262
 
2.0%
Other values (75)79
79.0%
ValueCountFrequency (%)
01
1.0%
0.0141
1.0%
0.0181
1.0%
0.0231
1.0%
0.0241
1.0%
0.0411
1.0%
0.0421
1.0%
0.0441
1.0%
0.0451
1.0%
0.0471
1.0%
ValueCountFrequency (%)
0.4011
1.0%
0.3991
1.0%
0.2851
1.0%
0.2831
1.0%
0.2821
1.0%
0.2671
1.0%
0.2511
1.0%
0.251
1.0%
0.2471
1.0%
0.2371
1.0%

Log GDP per capita
Real number (ℝ)

High correlation 

Distinct96
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.36756
Minimum0.534
Maximum2.141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:06.700602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.534
5-th percentile0.62755
Q11.07925
median1.4165
Q31.704
95-th percentile1.86815
Maximum2.141
Range1.607
Interquartile range (IQR)0.62475

Descriptive statistics

Standard deviation0.40003309
Coefficient of variation (CV)0.29251593
Kurtosis-0.7385619
Mean1.36756
Median Absolute Deviation (MAD)0.3155
Skewness-0.39688377
Sum136.756
Variance0.16002647
MonotonicityNot monotonic
2025-11-19T17:41:06.842366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6282
 
2.0%
1.7662
 
2.0%
1.7862
 
2.0%
1.3612
 
2.0%
1.4441
 
1.0%
1.4381
 
1.0%
1.3241
 
1.0%
1.5621
 
1.0%
1.8681
 
1.0%
0.9141
 
1.0%
Other values (86)86
86.0%
ValueCountFrequency (%)
0.5341
1.0%
0.561
1.0%
0.5731
1.0%
0.6171
1.0%
0.6191
1.0%
0.6282
2.0%
0.6541
1.0%
0.7471
1.0%
0.7561
1.0%
0.7581
1.0%
ValueCountFrequency (%)
2.1411
1.0%
2.1291
1.0%
1.9391
1.0%
1.9011
1.0%
1.8711
1.0%
1.8681
1.0%
1.8541
1.0%
1.8451
1.0%
1.8421
1.0%
1.841
1.0%

Social support
Real number (ℝ)

High correlation 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.11497
Minimum0
Maximum1.528
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:06.994044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.56125
Q10.88125
median1.2375
Q31.39
95-th percentile1.511
Maximum1.528
Range1.528
Interquartile range (IQR)0.50875

Descriptive statistics

Standard deviation0.34824705
Coefficient of variation (CV)0.3123376
Kurtosis0.35417646
Mean1.11497
Median Absolute Deviation (MAD)0.212
Skewness-0.97309483
Sum111.497
Variance0.12127601
MonotonicityNot monotonic
2025-11-19T17:41:07.128282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.392
 
2.0%
1.5112
 
2.0%
0.992
 
2.0%
1.5272
 
2.0%
1.2412
 
2.0%
0.9241
 
1.0%
01
 
1.0%
0.2491
 
1.0%
1.441
 
1.0%
0.1281
 
1.0%
Other values (85)85
85.0%
ValueCountFrequency (%)
01
1.0%
0.1281
1.0%
0.2491
1.0%
0.411
1.0%
0.4711
1.0%
0.5661
1.0%
0.5771
1.0%
0.5781
1.0%
0.5861
1.0%
0.61
1.0%
ValueCountFrequency (%)
1.5281
1.0%
1.5272
2.0%
1.5131
1.0%
1.5112
2.0%
1.5081
1.0%
1.5021
1.0%
1.4711
1.0%
1.4691
1.0%
1.4621
1.0%
1.4611
1.0%

Healthy life expectancy
Real number (ℝ)

High correlation 

Distinct87
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51289
Minimum0
Maximum0.785
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:07.263199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25585
Q10.389
median0.543
Q30.638
95-th percentile0.70705
Maximum0.785
Range0.785
Interquartile range (IQR)0.249

Descriptive statistics

Standard deviation0.15826189
Coefficient of variation (CV)0.30856888
Kurtosis-0.1217991
Mean0.51289
Median Absolute Deviation (MAD)0.1105
Skewness-0.66717339
Sum51.289
Variance0.025046826
MonotonicityNot monotonic
2025-11-19T17:41:07.401705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5423
 
3.0%
0.5852
 
2.0%
0.6382
 
2.0%
0.6732
 
2.0%
0.2882
 
2.0%
0.5672
 
2.0%
0.6612
 
2.0%
0.5112
 
2.0%
0.5392
 
2.0%
0.5492
 
2.0%
Other values (77)79
79.0%
ValueCountFrequency (%)
01
1.0%
0.1561
1.0%
0.2411
1.0%
0.2421
1.0%
0.2531
1.0%
0.2561
1.0%
0.2621
1.0%
0.2641
1.0%
0.2671
1.0%
0.2741
1.0%
ValueCountFrequency (%)
0.7851
1.0%
0.741
1.0%
0.7291
1.0%
0.7271
1.0%
0.7081
1.0%
0.7071
1.0%
0.7061
1.0%
0.7021
1.0%
0.7011
1.0%
0.71
1.0%

Delta_c02_per_capita_2013_2023
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.41390559
Minimum-8.1826948
Maximum2.9457757
Zeros0
Zeros (%)0.0%
Negative43
Negative (%)43.0%
Memory size1.6 KiB
2025-11-19T17:41:07.538205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-8.1826948
5-th percentile-2.8858376
Q1-0.7173682
median0.021950188
Q30.2870503
95-th percentile0.89383618
Maximum2.9457757
Range11.12847
Interquartile range (IQR)1.0044185

Descriptive statistics

Standard deviation1.5012355
Coefficient of variation (CV)-3.6269997
Kurtosis10.634613
Mean-0.41390559
Median Absolute Deviation (MAD)0.39170555
Skewness-2.6072203
Sum-41.390559
Variance2.2537079
MonotonicityNot monotonic
2025-11-19T17:41:07.666896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0028985947681
 
1.0%
-0.023994983071
 
1.0%
0.43267392671
 
1.0%
-0.1339252241
 
1.0%
0.66464026561
 
1.0%
-2.391524661
 
1.0%
0.82014002441
 
1.0%
0.25748554951
 
1.0%
-1.9490150031
 
1.0%
0.030955812131
 
1.0%
Other values (90)90
90.0%
ValueCountFrequency (%)
-8.1826947611
1.0%
-7.3741431761
1.0%
-3.4650231921
1.0%
-3.1424817191
1.0%
-2.9579692861
1.0%
-2.8820412331
1.0%
-2.4871012611
1.0%
-2.391524661
1.0%
-2.3761523361
1.0%
-2.3013794981
1.0%
ValueCountFrequency (%)
2.9457757011
1.0%
1.7923727031
1.0%
1.2122558771
1.0%
1.1468987531
1.0%
1.0081078021
1.0%
0.88782187891
1.0%
0.88162687441
1.0%
0.82014002441
1.0%
0.78267650461
1.0%
0.70440500041
1.0%

CO2_per_capita
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0040743208
Minimum2.3285941 × 10-5
Maximum0.023468517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-11-19T17:41:07.797326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.3285941 × 10-5
5-th percentile0.00014454908
Q10.00080799125
median0.0026148536
Q30.0057098461
95-th percentile0.013959444
Maximum0.023468517
Range0.023445231
Interquartile range (IQR)0.0049018548

Descriptive statistics

Standard deviation0.0044336062
Coefficient of variation (CV)1.0881829
Kurtosis3.6292524
Mean0.0040743208
Median Absolute Deviation (MAD)0.0020697918
Skewness1.7774719
Sum0.40743208
Variance1.9656864 × 10-5
MonotonicityNot monotonic
2025-11-19T17:41:07.934330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00022796004621
 
1.0%
0.0015892419251
 
1.0%
0.0034842127581
 
1.0%
0.0044805022451
 
1.0%
0.0017432281711
 
1.0%
0.014588961181
 
1.0%
0.0037532481761
 
1.0%
0.00050352984311
 
1.0%
0.0084368282811
 
1.0%
0.0005487600321
 
1.0%
Other values (90)90
90.0%
ValueCountFrequency (%)
2.328594074 × 10-51
1.0%
6.967725741 × 10-51
1.0%
8.652673245 × 10-51
1.0%
0.00012830476831
1.0%
0.00013989119721
1.0%
0.00014479422851
1.0%
0.00016171507721
1.0%
0.00016819725511
1.0%
0.00020641159261
1.0%
0.00022796004621
1.0%
ValueCountFrequency (%)
0.023468517261
1.0%
0.016442171081
1.0%
0.015251978051
1.0%
0.014730057311
1.0%
0.014588961181
1.0%
0.013926312021
1.0%
0.013352486481
1.0%
0.012456600871
1.0%
0.011996845541
1.0%
0.0098529670541
1.0%

Maternal_Health_factor
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0515148 × 10-17
Minimum-0.68121646
Maximum4.5408658
Zeros0
Zeros (%)0.0%
Negative72
Negative (%)72.0%
Memory size1.6 KiB
2025-11-19T17:41:08.077323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.68121646
5-th percentile-0.66746153
Q1-0.63450603
median-0.49896507
Q30.20991895
95-th percentile1.9476922
Maximum4.5408658
Range5.2220822
Interquartile range (IQR)0.84442498

Descriptive statistics

Standard deviation1.0050223
Coefficient of variation (CV)1.9895464 × 1016
Kurtosis4.8165482
Mean5.0515148 × 10-17
Median Absolute Deviation (MAD)0.16823407
Skewness2.0907442
Sum2.8310687 × 10-15
Variance1.0100698
MonotonicityNot monotonic
2025-11-19T17:41:08.210683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.289581041
 
1.0%
-0.62045945291
 
1.0%
-0.16726240661
 
1.0%
-0.50832940941
 
1.0%
-0.56905104581
 
1.0%
-0.66252581011
 
1.0%
-0.56898005051
 
1.0%
0.11760621771
 
1.0%
-0.66720468371
 
1.0%
1.1642014141
 
1.0%
Other values (90)90
90.0%
ValueCountFrequency (%)
-0.68121646341
1.0%
-0.67655440561
1.0%
-0.67654277391
1.0%
-0.67645935041
1.0%
-0.67189917611
1.0%
-0.66722797461
1.0%
-0.66722597711
1.0%
-0.66720468371
1.0%
-0.66720286671
1.0%
-0.66719541051
1.0%
ValueCountFrequency (%)
4.5408657591
1.0%
3.5928601281
1.0%
2.3970361311
1.0%
2.289581041
1.0%
2.1916196951
1.0%
1.9348539611
1.0%
1.8506655211
1.0%
1.7805614331
1.0%
1.757113711
1.0%
1.6872698181
1.0%
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
89 
True
11 
ValueCountFrequency (%)
False89
89.0%
True11
 
11.0%
2025-11-19T17:41:08.298012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
92 
True
 
8
ValueCountFrequency (%)
False92
92.0%
True8
 
8.0%
2025-11-19T17:41:08.348190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_East Asia
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
97 
True
 
3
ValueCountFrequency (%)
False97
97.0%
True3
 
3.0%
2025-11-19T17:41:08.391974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
85 
True
15 
ValueCountFrequency (%)
False85
85.0%
True15
 
15.0%
2025-11-19T17:41:08.435069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_Middle East and North Africa
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
91 
True
 
9
ValueCountFrequency (%)
False91
91.0%
True9
 
9.0%
2025-11-19T17:41:08.482505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_North America and ANZ
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
96 
True
 
4
ValueCountFrequency (%)
False96
96.0%
True4
 
4.0%
2025-11-19T17:41:08.529710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_South Asia
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
94 
True
 
6
ValueCountFrequency (%)
False94
94.0%
True6
 
6.0%
2025-11-19T17:41:08.572308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_Southeast Asia
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
95 
True
 
5
ValueCountFrequency (%)
False95
95.0%
True5
 
5.0%
2025-11-19T17:41:08.614967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_Sub-Saharan Africa
Boolean

High correlation 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
77 
True
23 
ValueCountFrequency (%)
False77
77.0%
True23
 
23.0%
2025-11-19T17:41:08.658954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_Western Europe
Boolean

High correlation  Imbalance 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
89 
True
11 
ValueCountFrequency (%)
False89
89.0%
True11
 
11.0%
2025-11-19T17:41:08.708557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Regional indicator_nan
Boolean

Imbalance 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
False
95 
True
 
5
ValueCountFrequency (%)
False95
95.0%
True5
 
5.0%
2025-11-19T17:41:08.754877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Interactions

2025-11-19T17:40:55.298853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:42.220176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:44.668044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:49.844469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:52.974230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:56.157345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:59.051691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:01.393143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:04.174108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:07.651783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:10.257474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:13.266701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:15.857083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:18.661589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:22.243612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:24.780237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:27.137554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-11-19T17:40:35.572052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:37.965927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:40.591126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:43.264126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:47.612431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:50.263177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:52.678381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:55.042840image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:57.942883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:44.495804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:49.664986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:52.722419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:55.976081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:58.876846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:01.227969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:04.004110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:07.347470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:10.071614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:13.089843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:15.666046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:18.403945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:22.076561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:24.600713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:26.923796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:29.294967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:33.042764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:35.669927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:38.049830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:40.686387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:43.364497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:47.708464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:50.368970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:52.766807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:55.127594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:58.055664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:44.583480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:49.755918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:52.853561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:56.062403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:39:58.965446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:01.310240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:04.084083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:07.497463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:10.168770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:13.183486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:15.761776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:18.530373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:22.160912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:24.688367image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:27.005447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:29.376097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:33.172996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:35.761141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:38.139325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:40.798867image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:43.475524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:47.799310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:50.464394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:52.853339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-11-19T17:40:55.218086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-11-19T17:41:08.875308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Agricultural Land( %)Armed Forces sizeBirth RateCO2_per_capitaDelta_2013_2023Delta_c02_per_capita_2013_2023Density (P/Km2)Forested Area (%)Freedom to make life choicesGDPGenerosityGross primary education enrollment (%)Gross tertiary education enrollment (%)HappinessHealthy life expectancyLog GDP per capitaMaternal_Health_factorMinimum wageOut of pocket health expenditurePerceptions of corruptionPhysicians per thousandPopulation: Labor force participation (%)Regional indicator_Central and Eastern EuropeRegional indicator_Commonwealth of Independent StatesRegional indicator_East AsiaRegional indicator_Latin America and CaribbeanRegional indicator_Middle East and North AfricaRegional indicator_North America and ANZRegional indicator_South AsiaRegional indicator_Southeast AsiaRegional indicator_Sub-Saharan AfricaRegional indicator_Western EuropeRegional indicator_nanSocial supportTax revenue (%)Total tax rateUnemployment rate
Agricultural Land( %)1.0000.0100.064-0.0770.0240.0140.141-0.4580.016-0.028-0.0330.046-0.095-0.101-0.146-0.0760.044-0.1130.012-0.0320.022-0.1420.0000.0000.0000.0000.2700.0000.0000.0000.0000.0000.000-0.0930.028-0.0660.042
Armed Forces size0.0101.000-0.1470.2030.2280.1700.143-0.070-0.0340.746-0.0320.0800.2020.0310.1580.124-0.1180.1340.142-0.0180.118-0.2520.0000.0240.5210.0000.0000.2380.5590.2950.0240.0000.000-0.004-0.2750.172-0.021
Birth Rate0.064-0.1471.000-0.7450.5200.407-0.181-0.116-0.311-0.4550.1100.189-0.813-0.636-0.810-0.8260.870-0.7010.308-0.083-0.8100.3630.4150.1440.0000.3560.1900.1540.1290.0000.7830.3440.000-0.722-0.4610.079-0.105
CO2_per_capita-0.0770.203-0.7451.000-0.414-0.416-0.015-0.0560.3180.5930.009-0.1940.8130.7250.7370.903-0.8630.744-0.4360.2530.792-0.2890.2350.2660.4470.0000.4220.8320.0000.0000.3510.4330.1450.7810.309-0.1820.130
Delta_2013_20230.0240.2280.520-0.4141.0000.8790.029-0.115-0.023-0.103-0.0040.186-0.453-0.451-0.497-0.4960.550-0.5500.465-0.168-0.4570.1550.0000.0000.6650.0000.0000.2540.3360.3820.0000.3590.000-0.482-0.4300.016-0.083
Delta_c02_per_capita_2013_20230.0140.1700.407-0.4160.8791.0000.013-0.038-0.030-0.184-0.2060.170-0.402-0.424-0.484-0.4520.503-0.5640.439-0.146-0.4070.1800.0000.2620.1000.0000.2820.4190.0000.1560.3290.5460.000-0.488-0.327-0.0160.012
Density\n(P/Km2)0.1410.143-0.181-0.0150.0290.0131.000-0.1620.1710.1510.071-0.032-0.1110.0210.1880.074-0.1310.0690.1160.015-0.025-0.2170.0000.0000.0000.0000.0000.0000.3990.0000.0510.2020.000-0.0880.095-0.082-0.322
Forested Area (%)-0.458-0.070-0.116-0.056-0.115-0.038-0.1621.0000.1290.0370.0020.0990.0560.0640.0170.0190.0220.022-0.134-0.033-0.0550.2370.3320.1540.0800.2920.4090.0000.0000.0000.3030.0000.0000.035-0.1170.168-0.098
Freedom to make life choices0.016-0.034-0.3110.318-0.023-0.0300.1710.1291.0000.2780.218-0.0080.3010.6030.3800.403-0.3750.264-0.1800.3560.3270.1940.0000.0000.0000.1660.3270.0000.3590.1280.4240.2730.1440.4190.081-0.156-0.225
GDP-0.0280.746-0.4550.593-0.103-0.1840.1510.0370.2781.0000.110-0.0230.5370.4930.5260.590-0.5040.548-0.2730.1830.410-0.2130.0000.0000.6800.0000.0000.2900.0000.0000.0000.3840.0000.411-0.0760.098-0.097
Generosity-0.033-0.0320.1100.009-0.004-0.2060.0710.0020.2180.1101.0000.021-0.0850.094-0.075-0.0380.057-0.074-0.0270.141-0.1550.2900.0000.0950.0980.2790.0000.5860.0000.6280.2610.3350.0000.109-0.181-0.132-0.407
Gross primary education enrollment (%)0.0460.0800.189-0.1940.1860.170-0.0320.099-0.008-0.0230.0211.000-0.119-0.087-0.134-0.1810.213-0.0930.0470.067-0.2060.1840.1300.0000.0000.1450.0630.1460.0000.0000.4200.1790.000-0.148-0.1190.256-0.014
Gross tertiary education enrollment (%)-0.0950.202-0.8130.813-0.453-0.402-0.1110.0560.3010.537-0.085-0.1191.0000.7140.7750.839-0.8290.736-0.3250.1650.840-0.2590.3120.0000.0190.1350.1330.5220.0000.1660.6920.3330.0000.7920.396-0.0180.181
Happiness-0.1010.031-0.6360.725-0.451-0.4240.0210.0640.6030.4930.094-0.0870.7141.0000.7550.817-0.7730.753-0.4470.4110.697-0.0580.1820.1250.1130.3150.2760.2770.4620.0000.6280.2600.0000.8270.303-0.064-0.076
Healthy life expectancy-0.1460.158-0.8100.737-0.497-0.4840.1880.0170.3800.526-0.075-0.1340.7750.7551.0000.852-0.8930.805-0.4650.2670.775-0.2610.3520.2960.1340.1640.1050.0000.1510.2410.8300.5370.0000.7440.469-0.0150.051
Log GDP per capita-0.0760.124-0.8260.903-0.496-0.4520.0740.0190.4030.590-0.038-0.1810.8390.8170.8521.000-0.9170.830-0.5010.3030.840-0.2760.4600.2630.0000.3720.3900.3440.2840.0000.7090.5870.0000.8190.384-0.1470.094
Maternal_Health_factor0.044-0.1180.870-0.8630.5500.503-0.1310.022-0.375-0.5040.0570.213-0.829-0.773-0.893-0.9171.000-0.7880.419-0.276-0.8830.3240.0000.0000.0000.0000.0000.0000.4800.1140.8000.0000.000-0.808-0.4920.142-0.086
Minimum wage-0.1130.134-0.7010.744-0.550-0.5640.0690.0220.2640.548-0.074-0.0930.7360.7530.8050.830-0.7881.000-0.4770.2470.671-0.3720.4180.0000.2720.1220.0000.7240.0000.0000.2800.7770.0000.6870.367-0.0440.144
Out of pocket health expenditure0.0120.1420.308-0.4360.4650.4390.116-0.134-0.180-0.273-0.0270.047-0.325-0.447-0.465-0.5010.419-0.4771.000-0.319-0.280-0.1330.0000.2970.0000.0000.0000.1660.6320.0000.0000.1890.000-0.423-0.2290.0930.007
Perceptions of corruption-0.032-0.018-0.0830.253-0.168-0.1460.015-0.0330.3560.1830.1410.0670.1650.4110.2670.303-0.2760.247-0.3191.0000.2250.1860.0000.0000.0000.0830.1390.5860.0000.0000.0640.4970.0000.1850.1040.066-0.112
Physicians per thousand0.0220.118-0.8100.792-0.457-0.407-0.025-0.0550.3270.410-0.155-0.2060.8400.6970.7750.840-0.8830.671-0.2800.2251.000-0.3240.4070.3970.0000.0800.1960.2410.2670.0000.6530.4280.0000.7980.455-0.1130.226
Population: Labor force participation (%)-0.142-0.2520.363-0.2890.1550.180-0.2170.2370.194-0.2130.2900.184-0.259-0.058-0.261-0.2760.324-0.372-0.1330.186-0.3241.0000.2770.0000.0000.1680.6290.0000.3520.0000.4380.0000.000-0.122-0.165-0.047-0.423
Regional indicator_Central and Eastern Europe0.0000.0000.4150.2350.0000.0000.0000.3320.0000.0000.0000.1300.3120.1820.3520.4600.0000.4180.0000.0000.4070.2771.0000.0000.0000.0220.0000.0000.0000.0000.1180.0000.0000.3280.1290.0000.037
Regional indicator_Commonwealth of Independent States0.0000.0240.1440.2660.0000.2620.0000.1540.0000.0000.0950.0000.0000.1250.2960.2630.0000.0000.2970.0000.3970.0000.0001.0000.0000.0000.0000.0000.0000.0000.0610.0000.0000.0000.0510.0000.000
Regional indicator_East Asia0.0000.5210.0000.4470.6650.1000.0000.0800.0000.6800.0980.0000.0190.1130.1340.0000.0000.2720.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
Regional indicator_Latin America and Caribbean0.0000.0000.3560.0000.0000.0000.0000.2920.1660.0000.2790.1450.1350.3150.1640.3720.0000.1220.0000.0830.0800.1680.0220.0000.0001.0000.0000.0000.0000.0000.1690.0220.0000.1870.0000.3080.061
Regional indicator_Middle East and North Africa0.2700.0000.1900.4220.0000.2820.0000.4090.3270.0000.0000.0630.1330.2760.1050.3900.0000.0000.0000.1390.1960.6290.0000.0000.0000.0001.0000.0000.0000.0000.0830.0000.0000.1920.3680.2370.148
Regional indicator_North America and ANZ0.0000.2380.1540.8320.2540.4190.0000.0000.0000.2900.5860.1460.5220.2770.0000.3440.0000.7240.1660.5860.2410.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.0000.1480.0000.0000.000
Regional indicator_South Asia0.0000.5590.1290.0000.3360.0000.3990.0000.3590.0000.0000.0000.0000.4620.1510.2840.4800.0000.6320.0000.2670.3520.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.0000.4390.0000.1850.000
Regional indicator_Southeast Asia0.0000.2950.0000.0000.3820.1560.0000.0000.1280.0000.6280.0000.1660.0000.2410.0000.1140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.2110.3490.0000.045
Regional indicator_Sub-Saharan Africa0.0000.0240.7830.3510.0000.3290.0510.3030.4240.0000.2610.4200.6920.6280.8300.7090.8000.2800.0000.0640.6530.4380.1180.0610.0000.1690.0830.0000.0000.0001.0000.1180.0000.6580.1410.0000.235
Regional indicator_Western Europe0.0000.0000.3440.4330.3590.5460.2020.0000.2730.3840.3350.1790.3330.2600.5370.5870.0000.7770.1890.4970.4280.0000.0000.0000.0000.0220.0000.0000.0000.0000.1181.0000.0000.1680.5250.0000.000
Regional indicator_nan0.0000.0000.0000.1450.0000.0000.0000.0000.1440.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.0000.0000.000
Social support-0.093-0.004-0.7220.781-0.482-0.488-0.0880.0350.4190.4110.109-0.1480.7920.8270.7440.819-0.8080.687-0.4230.1850.798-0.1220.3280.0000.0000.1870.1920.1480.4390.2110.6580.1680.0001.0000.393-0.1510.025
Tax revenue (%)0.028-0.275-0.4610.309-0.430-0.3270.095-0.1170.081-0.076-0.181-0.1190.3960.3030.4690.384-0.4920.367-0.2290.1040.455-0.1650.1290.0510.0000.0000.3680.0000.0000.3490.1410.5250.0000.3931.000-0.0960.237
Total tax rate-0.0660.1720.079-0.1820.016-0.016-0.0820.168-0.1560.098-0.1320.256-0.018-0.064-0.015-0.1470.142-0.0440.0930.066-0.113-0.0470.0000.0000.0000.3080.2370.0000.1850.0000.0000.0000.000-0.151-0.0961.0000.026
Unemployment rate0.042-0.021-0.1050.130-0.0830.012-0.322-0.098-0.225-0.097-0.407-0.0140.181-0.0760.0510.094-0.0860.1440.007-0.1120.226-0.4230.0370.0000.0000.0610.1480.0000.0000.0450.2350.0000.0000.0250.2370.0261.000

Missing values

2025-11-19T17:40:58.387879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-11-19T17:40:58.928483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

CountryDelta_2013_2023Density (P/Km2)Agricultural Land( %)Birth RateArmed Forces sizeForested Area (%)GDPGross primary education enrollment (%)Gross tertiary education enrollment (%)Minimum wageOut of pocket health expenditurePhysicians per thousandPopulation: Labor force participation (%)Tax revenue (%)Total tax rateUnemployment rateHappinessPerceptions of corruptionFreedom to make life choicesGenerosityLog GDP per capitaSocial supportHealthy life expectancyDelta_c02_per_capita_2013_2023CO2_per_capitaMaternal_Health_factorRegional indicator_Central and Eastern EuropeRegional indicator_Commonwealth of Independent StatesRegional indicator_East AsiaRegional indicator_Latin America and CaribbeanRegional indicator_Middle East and North AfricaRegional indicator_North America and ANZRegional indicator_South AsiaRegional indicator_Southeast AsiaRegional indicator_Sub-Saharan AfricaRegional indicator_Western EuropeRegional indicator_nan
0Afghanistan1791701.060.058.132.49323000.02.11.910135e+10104.09.70.4378.40.2848.99.371.411.121.7210.0880.0000.0910.6280.0000.242-0.0028990.0002282.289581FalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalse
5Albania-143186.0105.043.111.789000.028.11.527808e+10107.055.01.1256.91.2055.718.636.612.335.3040.0490.6900.1381.4380.9240.638-0.0239950.001589-0.620459TrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
6Algeria37346390.018.017.424.28317000.00.81.699882e+11109.951.40.9528.11.7241.237.266.111.705.3640.2000.2470.0911.3241.1910.5680.4326740.003484-0.167262FalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalse
14Argentina6268230.017.054.317.02105000.09.84.496634e+11109.790.03.3517.63.9661.310.1106.39.796.1880.0800.6810.0871.5621.3810.585-0.1339250.004481-0.508329FalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalse
15Armenia2073319.0104.058.913.9949000.011.71.367280e+1092.754.60.6681.64.4055.620.922.616.995.4550.1730.6500.0511.4441.1540.6030.6646400.001743-0.569051FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalse
20Australia-16095520.03.048.212.6058000.016.31.392681e+12100.3113.113.5919.63.6865.523.047.45.277.0570.3230.7560.2251.8541.4610.692-2.3915250.014589-0.662526FalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse
22Azerbaijan10381748.0123.057.714.0082000.014.13.920700e+1099.727.70.4778.63.4566.513.040.75.514.8930.1990.6680.1121.4330.8760.4960.8201400.003753-0.568980FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalse
26Bangladesh48664064.01265.070.618.18221000.011.03.025713e+11116.520.60.5171.80.5859.08.833.44.193.8860.1670.7750.1401.1220.2490.5130.2574860.0005040.117606FalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalse
29Belgium-19393070.0383.044.610.3032000.022.65.296067e+11103.979.710.3117.63.0753.624.055.45.596.8940.3110.7290.1701.8681.4400.690-1.9490150.008437-0.667205FalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse
31Benin1026342.0108.033.336.2212000.037.81.439071e+10122.012.30.3940.50.0870.910.848.92.234.3770.2520.5670.1120.9140.1280.2840.0309560.0005491.164201FalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
CountryDelta_2013_2023Density (P/Km2)Agricultural Land( %)Birth RateArmed Forces sizeForested Area (%)GDPGross primary education enrollment (%)Gross tertiary education enrollment (%)Minimum wageOut of pocket health expenditurePhysicians per thousandPopulation: Labor force participation (%)Tax revenue (%)Total tax rateUnemployment rateHappinessPerceptions of corruptionFreedom to make life choicesGenerosityLog GDP per capitaSocial supportHealthy life expectancyDelta_c02_per_capita_2013_2023CO2_per_capitaMaternal_Health_factorRegional indicator_Central and Eastern EuropeRegional indicator_Commonwealth of Independent StatesRegional indicator_East AsiaRegional indicator_Latin America and CaribbeanRegional indicator_Middle East and North AfricaRegional indicator_North America and ANZRegional indicator_South AsiaRegional indicator_Southeast AsiaRegional indicator_Sub-Saharan AfricaRegional indicator_Western EuropeRegional indicator_nan
301Tunisia4459850.076.064.817.5648000.06.83.879771e+10115.431.70.4739.81.3046.121.160.716.024.4220.0180.2540.0241.3060.9550.5790.2967910.002560-0.489601FalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalse
302Turkey84745600.0110.049.816.03512000.015.47.544117e+1193.223.93.4516.91.8552.817.942.313.494.9750.1150.2020.0681.7021.1750.6310.6176500.004468-0.611082FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue
306USA-568765700.036.044.411.601359000.033.92.142770e+13101.888.27.2511.12.6162.09.636.614.706.7250.1690.5860.2231.9391.3920.542-2.3761520.015252-0.601792FalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalse
307Uganda1859127.0229.071.938.1446000.09.73.438723e+10102.74.80.0140.50.1770.311.733.71.844.3720.0540.5870.1780.7721.1510.3730.0203660.0001281.061228FalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse
308Ukraine-161018410.075.071.78.70297000.016.71.537811e+1199.082.70.8447.82.9954.220.145.28.884.8730.0250.6310.2851.3501.3150.513-3.4650230.004557-0.601800FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalse
310United Kingdom-172464920.0281.071.711.00148000.013.12.827113e+12101.260.010.1314.82.8162.825.530.63.856.7490.3510.7130.2671.8221.3260.672-2.8820410.005671-0.657855FalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalse
313Uruguay377236.020.082.613.8622000.010.75.604591e+10108.563.11.6616.25.0564.020.141.88.736.6110.2200.7750.1061.5961.4310.5920.0574350.001955-0.611111FalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalse
314Uzbekistan12482896.079.062.923.3068000.07.55.792129e+10104.210.10.2442.72.3765.114.831.65.926.1950.2150.8350.2511.2121.3940.5390.0027330.002734-0.554931FalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalse
319Vietnam183288050.0314.039.316.75522000.048.12.619212e+11110.628.50.7343.50.8277.419.137.62.016.0430.1600.8430.0941.3311.2670.5391.7923730.001997-0.489593FalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrue
326Zambia3332763.025.032.136.1916000.065.22.306472e+1098.74.10.2427.51.1974.616.215.611.433.5020.1090.7270.1680.8990.8090.2640.1439750.0002880.304698FalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalse